Training – UGent – Big Data – 26/2 to 4/6

Ugent Big Data

download the brochure here

Big Data

Wetenschappelijke coördinatie:
Prof. dr. Guy De Tré
Vakgroep Telecommunicatie en Informatieverwerking, UGent

  • Module 1: Gegevensbeheer
    26 februari, 5, 12, 19, 26 maart 2015

  • Module 2: Gegevensanalyse
    2, 23 en 30 april, 7 en 21 mei 2015

  • Module 3: Visualisatie
    28 mei en 4 juni 2015

Wetenschappelijk Coördinator

  • Prof. dr. Guy De Tré, Vakgroep Telecommunicatie en Informatieverwerking, Universiteit Gent


  • Vivek Bajaj, IBM
  • Antoon Bronselaer, Vakgroep Telecommunicatie en Informatieverwerking, Universiteit Gent
  • Hans Constandt, Ontoforce
  • Thomas Demeester, Vakgroep Informatietechnologie, Universiteit Gent
  • Wesley De Neve, Vakgroep Elektronica en Informatiesystemen, Universiteit Gent
  • Guy De Tré, Vakgroep Telecommunicatie en Informatieverwerking, Universiteit Gent
  • Filip De Turck, Vakgroep Informatietechnologie, Universiteit Gent
  • Wim De Wispelaere, Amplidata
  • Erik Duval, Departement Computerwetenschappen, KU Leuven
  • Jan Fostier, Vakgroep Informatietechnologie, Universiteit Gent
  • Alain Houf, Intersystems
  • Joris Klerkx, Departement Computerwetenschappen, KU Leuven
  • Peter Lambert, Vakgroep Elektronica en Informatiesystemen, Universiteit Gent
  • Femke Ongenae, Vakgroep Informatietechnologie, Universiteit Gent
  • Dirk Van den Poel, Vakgroep Marketing, Universiteit Gent
  • Inge Van Nieuwerburgh, Directie Onderzoeksaangelegenheden, Afdeling Universiteitsbiblioitheek, Universiteit Gent
  • Nico Verplancke, Vlaams Instituut voor Archivering




Module 1
Module 2
Module 3




Job – Universiteit Gent – PhD student – pricing and revenue management


PhD student

  • Last application date: Jan 23, 2015 09:00
  • Department: EB07 – Department of Marketing
  • Contract: Limited duration
  • Degree: Master’s degree in Business Engineering (or other master’s degree with profound background in statistics and data analysis)
  • Occupancy rate: 100%
  • Vacancy Type: Research staff

Job description

The research project will be conducted under the supervision of prof. dr. Dries Benoit and addresses new developments in pricing and revenue management. Many industries that depend on ticket sales started using yield management in order to improve occupancy and increase revenue. The models currently in use, however, often estimate price-response relationships with very basic functions. The goal of this research is to develop advanced Bayesian models and to apply these in the context of, e.g., soccer or movie theatres. You will engage in various research activities, including literature review, preparing and conducting multiple simulation as well as field experiments, interacting with organizations, conducting data-analysis, writing scientific articles and presenting at scientific conferences. This will allow you to prepare for and obtain a doctoral degree.

We offer:

  • A challenging job in an intellectually stimulating environment
  • Many opportunities for learning and development
  • Flexibility and autonomy
  • A full-time position for four years (pending positive evaluation after 12 months)
  • A gross monthly salary of 3.145 EUR and 38 days of paid vacation

The department is located at Tweekerkenstraat 2, Ghent, Belgium

Starting date is October 1, 2015

Profile of the candidate

We are looking for:

  • A master’s degree in Business Engineering (or other master’s degree with profound background in statistics and data analysis). Final-year students are also welcome to apply.
  • Excellent study results and master’s thesis
  • Good programming skills (e.g. R, Python, SQL, C, etc.)
  • Good writing skills, especially in English
  • A strong interest in research, especially in the domain of pricing and revenue management
  • An intellectually curious, analytical, responsible, and proactive person who is able to work autonomously as well as in team

How to apply

Feel free to contact prof. dr. Dries Benoit for any further information or questions.

To apply, send your motivation letter, resume, and a one-page summary of your master’s thesis to no later than January 23, 2014 (9am).

Please include your detailed study results (list of obtained points for every course per study year) and at least one reference that we may contact (e.g., thesis supervisor). The thesis summary should be in English; the letter and resume can be in English or Dutch.